Lightweight, miniaturized optical imaging systems are vastly anticipated in these fields of
aerospace exploration, industrial vision, consumer electronics, and medical imaging …

Recent years have witnessed promising artificial intelligence (AI) applications in many
disciplines, including optics, engineering, medicine, economics, and education. In particular …

Metamaterials are artificial materials designed to exhibit effective material parameters that
go beyond those found in nature. Composed of unit cells with rich designability that are …

Conventional human-driven methods face limitations in designing complex functional
metasurfaces. Inverse design is poised to empower metasurface research by embracing fast …

Active metasurfaces promise reconfigurable optics with drastically improved compactness,
ruggedness, manufacturability and functionality compared to their traditional bulk …

Deep learning in the context of nano-photonics is mostly discussed in terms of its potential
for inverse design of photonic devices or nano-structures. Many of the recent works on …

Active metasurfaces, whose optical properties can be modulated post-fabrication, have
emerged as an intensively explored field in recent years. The efforts to date, however, still …

Deep neural networks (DNNs) are empirically derived systems that have transformed
traditional research methods, and are driving scientific discovery. Artificial electromagnetic …

We introduce WaveY-Net, a hybrid data-and physics-augmented convolutional neural
network that can predict electromagnetic field distributions with ultrafast speeds and high …

Metasurfaces have enabled precise electromagnetic (EM) wave manipulation with strong
potential to obtain unprecedented functionalities and multifunctional behavior in flat optical …